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InfoSphere BigMatch for Hadoop v11.4 (ZZ850G)

 

Who should attend

The course is designed for a technical audience that will be setting up a custom algorithm for the Probabilistic Matching Engine to use Big Match on Apache Hadoop to compare, match and/or search member records across multiple data sets.

Prerequisites

This course has no pre-requisites.

Course Content

The IBM InfoSphere Big Match on Hadoop course will introduce students to the Probabilistic Matching Engine (PME) and how it can be used to resolve and discover entities across multiple data sets in Hadoop.   Students will learn the basics of a PME algorithm including data model configuration, standardization, comparison and bucketing functions, weight generation, and threshold. During the exercises, the student will work on a large use case, where they will apply their knowledge of Big Match to discover relationships be two data sets that can be used to understand the full view of the member data.

Classroom Training

Duration 2.5 days

Price (excl. tax)
  • Germany: 1,890.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware

Courseware language: English

 
Click on town name to book Schedule
Germany

Currently no local training dates available.  For enquiries please write to info@flane.de.

Switzerland
11/11/2019 - 12/11/2019 Zurich